Poggio, Tomaso A

46 publications

ICLR 2025 Formation of Representations in Neural Networks Liu Ziyin, Isaac L. Chuang, Tomer Galanti, Tomaso A Poggio

ALT 2025 On Generalization Bounds for Neural Networks with Low Rank Layers Andrea Pinto, Akshay Rangamani, Tomaso A Poggio

ICML 2025 Position: A Theory of Deep Learning Must Include Compositional Sparsity David A. Danhofer, Davide D’Ascenzo, Rafael Dubach, Tomaso A Poggio

CPAL 2025 SGD with Weight Decay Secretly Minimizes the Ranks of Your Neural Networks Tomer Galanti, Zachary S Siegel, Aparna Gupte, Tomaso A Poggio

NeurIPSW 2024 SGD and Weight Decay Secretly Minimize the Rank of Your Neural Network Tomer Galanti, Zachary S Siegel, Aparna Gupte, Tomaso A Poggio

NeurIPSW 2024 Workshop Submission: Towards Making Untrainable Networks Trainable Vighnesh Subramaniam, Tomaso A Poggio, Boris Katz, Brian Cheung, Andrei Barbu

ICML 2023 Feature Learning in Deep Classifiers Through Intermediate Neural Collapse Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A Poggio

NeurIPSW 2023 How to Guess a Gradient Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A Poggio, Stella X. Yu

ICML 2023 System Identification of Neural Systems: If We Got It Right, Would We Know? Yena Han, Tomaso A Poggio, Brian Cheung

NeurIPSW 2020 CUDA-Optimized Real-Time Rendering of a Foveated Visual System Elian Malkin, Arturo Deza, Tomaso A Poggio

NeurIPSW 2020 Dreaming with ARC Andrzej Banburski, Anshula Gandhi, Simon Alford, Sylee Dandekar, Sang Chin, Tomaso A Poggio

NeurIPS 2017 Do Deep Neural Networks Suffer from Crowding? Anna Volokitin, Gemma Roig, Tomaso A Poggio

AAAI 2017 When and Why Are Deep Networks Better than Shallow Ones? Hrushikesh N. Mhaskar, Qianli Liao, Tomaso A. Poggio

AAAI 2016 Holographic Embeddings of Knowledge Graphs Maximilian Nickel, Lorenzo Rosasco, Tomaso A. Poggio

AAAI 2016 How Important Is Weight Symmetry in Backpropagation? Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio

NeurIPS 2015 Learning with Group Invariant Features: A Kernel Perspective. Youssef Mroueh, Stephen Voinea, Tomaso A Poggio

NeurIPS 2015 Learning with a Wasserstein Loss Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya, Tomaso A Poggio

ICCV 2011 HMDB: A Large Video Database for Human Motion Recognition Hildegard Kuehne, Hueihan Jhuang, Estíbaliz Garrote, Tomaso A. Poggio, Thomas Serre

ECML-PKDD 2010 Hierarchical Learning Machines and Neuroscience of Visual Cortex Tomaso A. Poggio

ICCV 2007 A Biologically Inspired System for Action Recognition Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso A. Poggio

CVPR 2005 Object Recognition with Features Inspired by Visual Cortex Thomas Serre, Lior Wolf, Tomaso A. Poggio

CVPRW 2003 Learning and Perceptual Interfaces Tomaso A. Poggio

NeCo 2002 Biophysiologically Plausible Implementations of the Maximum Operation Angela J. Yu, Martin A. Giese, Tomaso A. Poggio

CVPR 2001 Component-Based Face Detection Bernd Heisele, Thomas Serre, Massimiliano Pontil, Tomaso A. Poggio

ICCV 2001 Face Recognition with Support Vector Machines: Global Versus Component-Based Approach Bernd Heisele, Purdy Ho, Tomaso A. Poggio

CVPR 2001 Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images Bernd Heisele, Thomas Serre, Sayan Mukherjee, Tomaso A. Poggio

ICML 2000 Bounds on the Generalization Performance of Kernel Machine Ensembles Theodoros Evgeniou, Luis Pérez-Breva, Massimiliano Pontil, Tomaso A. Poggio

ICCV 1999 A Pattern Classification Approach to Dynamical Object Detection Constantine Papageorgiou, Tomaso A. Poggio

ICCV 1998 A General Framework for Object Detection Constantine Papageorgiou, Michael Oren, Tomaso A. Poggio

NeCo 1998 A Sparse Representation for Function Approximation Tomaso A. Poggio, Federico Girosi

CVPR 1998 Hierarchical Morphable Models Michael J. Jones, Tomaso A. Poggio

ICCV 1998 Multidimensional Morphable Models Michael J. Jones, Tomaso A. Poggio

CVPR 1997 A Bootstrapping Algorithm for Learning Linear Models of Object Classes Thomas Vetter, Michael J. Jones, Tomaso A. Poggio

CVPR 1997 Pedestrian Detection Using Wavelet Templates Michael Oren, Constantine Papageorgiou, Pawan Sinha, Edgar Osuna, Tomaso A. Poggio

ECCV 1996 Image Synthesis from a Single Example Image Thomas Vetter, Tomaso A. Poggio

ICCV 1995 Face Recognition from One Example View David Beymer, Tomaso A. Poggio

ICCV 1995 Model-Based Matching of Line Drawings by Linear Combinations of Prototypes Michael J. Jones, Tomaso A. Poggio

NeCo 1995 Regularization Theory and Neural Networks Architectures Federico Girosi, Michael J. Jones, Tomaso A. Poggio

ICCV 1993 Optical Flow from 1d Correlation: Application to a Simple Time-to-Crash Detector Nicola Ancona, Tomaso A. Poggio

ECCV 1992 Face Recognition Through Geometrical Features Roberto Brunelli, Tomaso A. Poggio

IJCAI 1991 HyperBF Networks for Real Object Recognition Roberto Brunelli, Tomaso A. Poggio

NeCo 1989 Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant Federico Girosi, Tomaso A. Poggio

ICCV 1988 Parallel Optical Flow Using Local Voting James J. Little, Heinrich H. Bülthoff, Tomaso A. Poggio

IJCAI 1987 An Optimal Scale for Edge Detection Davi Geiger, Tomaso A. Poggio

NeurIPS 1987 Learning a Color Algorithm from Examples Tomaso A. Poggio, Anya C. Hurlbert

AAAI 1984 Fingerprints Theorems Alan L. Yuille, Tomaso A. Poggio